Sorting Dataframe By Column Index

We begin by generating some random data

import pandas as pd
import numpy as np

sample_df = pd.DataFrame( data=np.random.rand(18).reshape(6,3), 
                          columns=['x-val', 'y-val', 'z-val'] )
sample_df
x-val y-val z-val
0 0.929960 0.686751 0.002423
1 0.959458 0.654311 0.391251
2 0.537430 0.391395 0.305878
3 0.087757 0.195576 0.768340
4 0.837864 0.353326 0.544702
5 0.535682 0.807780 0.379437

Implementing the column index sort. For column index, we set axis=1. For row index we set axis=0.

sample_df.sort_index(ascending=False, axis=1)
z-val y-val x-val
0 0.002423 0.686751 0.929960
1 0.391251 0.654311 0.959458
2 0.305878 0.391395 0.537430
3 0.768340 0.195576 0.087757
4 0.544702 0.353326 0.837864
5 0.379437 0.807780 0.535682